ReviewCurrent opinion in cell biology2012
Quantitative analysis of gradient sensing: towards building predictive models of chemotaxis in cancer.
Review in Current opinion in cell biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 24 citations in OpenAlex.
- Predictive modeling for metastasis in oncology: current methods and future directions.Annals of medicine and surgery (2012) · 2025Review
- In-silico study of asymmetric remodeling of tumors in response to external biochemical stimuli.Scientific reports · 2023Article
- Understanding the Cell's Response to Chemical Signals: Utilisation of Microfluidic Technology in Studies of Cellular andMicromachines · 2022Review
- Tumor-on-a-chip for integrating a 3D tumor microenvironment: chemical and mechanical factors.Lab on a chip · 2020Review
- A systems perspective of heterocellular signaling.Essays in biochemistry · 2018Review
- Quantifying the roles of random motility and directed motility using advection-diffusion theory for a 3T3 fibroblast cell migration assay stimulated with an electric field.BMC systems biology · 2017Article
- Breast Cancer Cell Invasion into a Three Dimensional Tumor-Stroma Microenvironment.Scientific reports · 2016Article
- Correlation between cell migration and reactive oxygen species under electric field stimulation.Biomicrofluidics · 2015Article
- Planar Gradient Diffusion System to Investigate Chemotaxis in a 3D Collagen Matrix.Journal of visualized experiments : JoVE · 2015Article
- Melanoma cells break down LPA to establish local gradients that drive chemotactic dispersal.PLoS biology · 2014Article
- Metastasis review: from bench to bedside.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014Review
- Article
- Bidirectional coupling between integrin-mediated signaling and actomyosin mechanics explains matrix-dependent intermittency of leading-edge motility.Molecular biology of the cell · 2013Article
- Cooperative roles of SDF-1α and EGF gradients on tumor cell migration revealed by a robust 3D microfluidic model.PloS one · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Chemotaxis of tumor cells in response to a gradient of extracellular ligand is an important step in cancer metastasis. The heterogeneity of chemotactic responses in cancer has not been widely addressed by experimental or mathematical modeling techniques. However, recent advancements in chemoattractant presentation, fluorescent-based signaling probes, and phenotypic analysis paradigms provide rich sources for building data-driven relational models that describe tumor cell chemotaxis in response to a wide variety of stimuli. Here we present gradient sensing, and the resulting chemotactic behavior, in a 'cue-signal-response' framework and suggest methods for utilizing recently reported experimental methods in data-driven modeling ventures.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.